Suchin Gururangan
Papers
1
Total Citations
12
H-Index
1
About
Suchin Gururangan is a researcher whose work lies at the intersection of motor learning, neural computation, and brain-machine interfaces (BMIs). Their key research areas include understanding how the motor cortex coordinates complex, multi-joint movements—particularly reach-to-grasp actions—and how these neural processes can be harnessed to improve BMI technologies. In their most-cited work, "Emergent coordination underlying learning to reach to grasp with a brain-machine interface" (2018, 12 citations), Gururangan investigated the neural mechanisms behind the development of coordinated reaching and grasping, a skill fundamental to both human infant development and neuroprosthetic control. By employing a BMI paradigm in rhesus macaques, they shed light on how motor cortex activity evolves as subjects learn to control external devices, bridging a critical gap between basic neuroscience and applied neural engineering. This study is notable for its innovative approach to studying motor learning in a controlled, real-time feedback loop, offering insights that could inform more intuitive and adaptive prosthetic limbs. Gururangan’s work contributes to a deeper understanding of neural plasticity and the emergent properties of motor coordination, making it valuable for students and researchers interested in the frontiers of neurotechnology and rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1